ChatGPT Performance Engineer

Responsibilities

• Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond.
• Develop tooling and metrics that provide deep observability into system performance.
• Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements.
• Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale.
• Lead investigations into high-impact performance regressions or scalability issues in production.
• Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems.

Requirements

• 7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems.
• Deeply comfortable with performance profiling tools and tracing systems.
• Experience optimizing performance across one or more layers of the stack (e.g., database, networking, storage, application runtime, GC tuning, Python/Golang internals, GPU utilization).
• Strong understanding of OS internals, scheduling, memory management, and IO patterns.
• Contributed to observability, benchmarking, or performance-focused infrastructure at scale.
• Demonstrated success navigating ambiguity and aligning stakeholders around performance goals.
• Value simplicity, rigor, and collaboration when solving complex systems problems.